Top Tech Jobs & Startup Jobs

The Financial Analyst II role at Rackspace involves developing global go-to-market strategy, analyzing financial metrics, supporting sales functions, building financial models, and driving profitability through management information and commercial advice. The role requires strong analytical skills, attention to detail, and the ability to work under pressure.

The Senior Streaming Engineer will develop and scale stream and batch processing systems using GCP and various technologies like Pub/Sub and Kafka. They will implement DevOps practices, utilize CI/CD and IaC, and ensure effective communication in a remote environment. The role demands strong problem-solving skills and expertise in cloud services.

As a Principal Backend Java Engineer, you will develop innovative Java code for content aggregation, enhance tools for data processing, and collaborate with teams on technical requirements. You'll also write design documents, automate tests, and coordinate deployments within large-scale distributed systems.

As a Senior Python Developer, you will design and maintain scalable Python applications, collaborate with teams to define project deliverables, mentor junior developers, optimize performance, and participate in the software development lifecycle.

The Manager of Finance leads a team of financial analysts to analyze financial plans, cash flow, and operating results. Responsibilities include producing forecasts, presenting analysis to senior management, managing staff performance, and evaluating funding sources. The role focuses on enhancing profitability through informed decision-making and financial strategy development.

The Senior MLOPs Engineer will architect and optimize ML inference platforms, ensuring robustness and cost-effectiveness. Responsibilities include collaborating with teams, technical leadership, and ongoing system operations, with a focus on cutting-edge machine learning and deep learning models.

The Principal MLOPs Engineer will architect and optimize an ML inference platform, ensuring scalability in a production environment. Responsibilities include collaborating with teams to develop robust systems, providing mentorship, and applying model optimization techniques to deployment challenges. This role demands expertise in ML engineering and infrastructure, with a strong focus on Java and familiarity with deep learning frameworks.